|Title:||Life cycle multi-criteria decision analysis for sustainability prioritization under multiple conditions|
|Advisors:||Ren, Jingzheng (ISE)|
Lee, Carman (ISE)
Ji, Ping (ISE)
|Subject:||Multiple criteria decision making|
Hong Kong Polytechnic University -- Dissertations
|Department:||Department of Industrial and Systems Engineering|
|Pages:||xix, 445 pages : color illustrations|
|Abstract:||Due to the awareness of the contradiction between limited resources and the growing demand of humans, the concept of sustainability has been applied to major decisions more and more, especially those with long-term impacts. The variety of alternatives in a decision makes it difficult to figure out the best option, and it's necessary to establish efficient tools to assist sustainability-oriented decision making. Because Life Cycle Sustainability Assessment (LCSA) is a mature tool to scientifically quantify sustainability while multi-criteria decision analysis (MCDA) is an effective ranking method, a framework combining MCDA and LCSA provides a feasible and effective solution for sustainability-oriented prioritization problem. However, some complicated scenarios need to be studied cannot be solved by existing LCSA based MCDA methods. Therefore, a series of new methods dealing with multi-criteria prioritization problems for sustainability under complicated conditions needs to be developed. This study aims at developing a series of life cycle decision analysis methods for sustainability prioritization under complicated conditions. To deal with missing information, hybrid types of data, uncertainty, interdependent factors, opinions from multiple stakeholders, and index in form of efficiency, six LCSA-based MCDA methods for sustainability prioritization are proposed and validated. In this study, an improved grey relational analysis for hybrid and missing information (HM-GRA) model, a combination method of the z-number best-worst method (ZBWM) and the extended ELECTRE model, an improved interval goal programming method combining with a two-stage logarithmic goal programming (TLGP), a non-orthogonal coordinate system based TOPSIS (NOC-TOPSIS) model, a combination of FLLSMFAHP and PROMETHEE model and interval slack-based measurement of super-efficiency (interval Super-SBM) model are proposed to deal with the complex scenarios mentioned above, respectively. This research analyzes the existing difficulties and problems of sustainability-oriented multi-criteria decision-making in complex scenarios. In addition, this study proposes innovative MCDA for sustainability prioritization with complicated conditions. These methods provide effective solutions for practical applications and provide new ideas for future research. Lastly, this research uses practical cases to demonstrate the proposed solutions. While verifying the feasibility of the alternatives in case studies, it also analyzes and puts forward insights for actual cases. Hence, this research also provides experts and policymakers with references and insights.|
|Rights:||All rights reserved|
As a bona fide Library user, I declare that:
- I will abide by the rules and legal ordinances governing copyright regarding the use of the Database.
- I will use the Database for the purpose of my research or private study only and not for circulation or further reproduction or any other purpose.
- I agree to indemnify and hold the University harmless from and against any loss, damage, cost, liability or expenses arising from copyright infringement or unauthorized usage.
By downloading any item(s) listed above, you acknowledge that you have read and understood the copyright undertaking as stated above, and agree to be bound by all of its terms.
Please use this identifier to cite or link to this item: